from services import telegram_templates
from services.telegram_templates import _sanitize_telegram_html, price_decision, triaged_alert


def test_telegram_html_sanitizer_converts_br_tags_to_newlines():
    msg = _sanitize_telegram_html("第一行<br>第二行<br/>第三行<BR />第四行")

    assert "<br" not in msg.lower()
    assert msg == "第一行\n第二行\n第三行\n第四行"
    assert _sanitize_telegram_html("第一行<br>第二行", parse_mode=None) == "第一行<br>第二行"


def test_send_telegram_with_result_sanitizes_html_payload(monkeypatch):
    sent_payloads = []

    class Response:
        ok = True
        status_code = 200
        text = "ok"

    def fake_post(url, json=None, timeout=None):
        sent_payloads.append({"url": url, "json": json, "timeout": timeout})
        return Response()

    monkeypatch.setattr(telegram_templates, "_get_bot_token", lambda: "telegram-token")
    monkeypatch.setattr("requests.post", fake_post)

    result = telegram_templates.send_telegram_with_result(
        "第一行<br>第二行<br/>第三行",
        chat_ids=[101, 202],
        parse_mode="HTML",
    )

    assert result["ok"] is True
    assert result["sent"] == 2
    assert [item["json"]["chat_id"] for item in sent_payloads] == [101, 202]
    assert all(item["json"]["text"] == "第一行\n第二行\n第三行" for item in sent_payloads)
    assert all(item["json"]["parse_mode"] == "HTML" for item in sent_payloads)


def test_price_decision_accepts_report_url_and_escapes_dynamic_fields():
    message, keyboard = price_decision(
        product_name="精華 <script>",
        product_sku="SKU<001>",
        current_price=1200,
        suggested_price=990,
        reason="第一行<br>第二行<script>alert(1)</script>",
        insight_id=42,
        report_url="https://mo.wooo.work/report?a=1&b=<x>",
    )

    assert "<script>" not in message
    assert "<br" not in message.lower()
    assert "第一行\n第二行&lt;script&gt;alert(1)&lt;/script&gt;" in message
    assert "精華 &lt;script&gt;" in message
    assert "SKU&lt;001&gt;" in message
    assert 'href="https://mo.wooo.work/report?a=1&amp;b=&lt;x&gt;"' in message
    assert keyboard["inline_keyboard"][0][0]["callback_data"] == "momo:pa:42"


def test_ea_escalation_uses_structured_incident_brief():
    msg, keyboard = triaged_alert(
        base_event={
            "event_type": "ea_escalation",
            "title": "🐘 EA 升級審核 · 價格下滑警報",
            "summary": "自主決策信心度 0.82 低於門檻，需人工批准",
            "id": "ea_review_test",
        },
        tier_label="🐘 Elephant Alpha · L3 HITL",
        ai_summary=(
            "分析顯示 5 個代表性 SKU 的價格差異分別為 16.7%~38.3%，"
            "且每件價差至多 370 元。"
        ),
        ai_cause="觸發類型：價格下滑警報 | 信心度：0.82 | 參與模組：Hermes, NemoTron",
        ai_actions=[
            "[5900068] [derma Angel 護妍天使] 集中抗痘精華｜"
            "MOMO $300 vs PChome $250 (+16.7%)｜"
            "每件價差 NT$ 50｜"
            "證據：高信心同款 / 總價可比 / 可直接價格告警 / score 0.86｜"
            "建議人工確認 PChome identity_v2 後評估跟價或促銷｜"
            "PChome DABC53-A9009OEF",
            "[3518670] L'Occitane 歐舒丹 官方直營 乳油木｜"
            "MOMO $1,220 vs PChome $850 (+30.3%)｜"
            "每件價差 NT$ 370｜"
            "證據：高信心同款 / 總價可比 / 可直接價格告警 / score 0.91｜"
            "建議人工確認 PChome identity_v2 後評估跟價或促銷｜"
            "PChome DDADKS-A900HIG5Y",
        ],
    )

    assert "🧭 <b>決策狀態</b>" in msg
    assert "📊 <b>風險摘要</b>" in msg
    assert "📋 <b>TOP 待審 SKU</b>" in msg
    assert "✅ <b>建議處置</b>" in msg
    assert "• 待審 SKU：<b>2</b> 件" in msg
    assert "• 價差範圍：<b>+16.7%～+30.3%</b>" in msg
    assert "• 最大單件價差：<b>NT$ 370</b>" in msg
    assert "<b>1. [5900068]" in msg
    assert "MOMO：<b>$300</b>　PChome：<b>$250</b>" in msg
    assert "證據：高信心同款 / 總價可比 / 可直接價格告警 / score 0.86" in msg
    assert "PChome：<code>DABC53-A9009OEF</code>" in msg
    assert "  • [5900068]" not in msg
    assert keyboard["inline_keyboard"][0][0]["callback_data"] == "momo:eig:ea_review_test"


def test_ea_escalation_generic_actions_do_not_render_as_sku_cards():
    msg, _ = triaged_alert(
        base_event={
            "event_type": "ea_escalation",
            "title": "🐘 EA 升級審核 · 程式碼異常偵測",
            "summary": "低信心且缺少可格式化的具體行動",
            "id": "ea_review_generic",
        },
        tier_label="🐘 Elephant Alpha · L3 HITL",
        ai_summary="已隱藏 LLM plan 文字，避免把推測當成事實。",
        ai_cause="觸發類型：程式碼異常偵測 | 信心度：0.62 | 缺少可直接審核的實證資料",
        ai_actions=[
            "檢查觸發條件：{\"scan_containers\": [\"momo-pro-system\"]}",
            "不執行自動動作；請先在觀測台確認對應資料來源與最近錯誤紀錄。",
        ],
    )

    assert "📋 <b>待確認事項</b>" in msg
    assert "📋 <b>TOP 待審 SKU</b>" not in msg
    assert "• 待審 SKU" not in msg
    assert "未取得實證前，不執行自動調價、修復或策略派發" in msg


def test_ea_escalation_renders_decision_envelope_and_uses_decision_id_callback():
    msg, keyboard = triaged_alert(
        base_event={
            "event_type": "ea_escalation",
            "title": "🐘 EA 升級審核 · 資源壓力治理",
            "summary": "自主決策信心度 0.82 低於門檻，需人工批准",
            "decision_envelope": {
                "decision_id": "ea_resource_pressure_1942",
                "decision_type": "resource_optimization",
                "source_agent": "elephant_alpha",
                "severity": "P2",
                "confidence": 0.86,
                "subject": {
                    "sku": "action_plans",
                    "name": "Elephant Alpha 資源壓力治理",
                },
                "evidence": [
                    {
                        "type": "queue",
                        "metric": "action_queue_size",
                        "value": "7/10",
                        "basis": "action_plans pending / pending_review",
                        "confidence": 1.0,
                    },
                ],
                "recommended_action": {
                    "action": "human_review_backlog_triage",
                    "owner": "ops",
                    "requires_hitl": True,
                },
                "guardrails": {
                    "can_auto_execute": False,
                    "blocked_reason": "resource_optimization requires HITL",
                    "data_quality": "complete",
                },
            },
        },
        tier_label="🐘 Elephant Alpha · L3 HITL",
        ai_summary="只採用 action_plans 與 CPU 實測值。",
        ai_cause="觸發類型：資源壓力治理 | 信心度：0.86",
        ai_actions=["檢查 priority <= 2 的 action_plans"],
    )

    assert "🧭 <b>決策信封</b>" in msg
    assert "類型：<code>resource_optimization</code>" in msg
    assert "資料品質：<code>complete</code>　自動執行：<b>不允許</b>" in msg
    assert "SKU：<code>action_plans</code>" in msg
    assert "human_review_backlog_triage" in msg
    assert keyboard["inline_keyboard"][0][0]["callback_data"] == "momo:eig:ea_resource_pressure_1942"


def test_triaged_alert_renders_decision_envelope_contract():
    msg, keyboard = triaged_alert(
        base_event={
            "event_type": "price_alert",
            "title": "MOMO / PChome 價格威脅",
            "summary": "高信心同款且 PChome 低價。",
            "id": "decision_env_001",
            "decision_envelope": {
                "decision_type": "price_alert",
                "severity": "P1",
                "confidence": 0.86,
                "subject": {
                    "sku": "SKU-1",
                    "name": "測試商品",
                    "competitor_product_id": "PC-1",
                    "competitor_product_name": "PChome 測試商品",
                },
                "evidence": [
                    {
                        "type": "match",
                        "metric": "match_score",
                        "value": 0.91,
                        "basis": "identity_v2 + price_alert_exact",
                        "freshness": "2026-05-24T10:00:00+08:00",
                        "confidence": 0.91,
                    },
                    {
                        "type": "price",
                        "metric": "gap_pct",
                        "value": "18.4%",
                        "basis": "latest price_records",
                    },
                ],
                "recommended_action": {
                    "action": "human_review",
                    "owner": "ops",
                    "deadline": "2026-05-24T18:00:00+08:00",
                    "requires_hitl": True,
                },
                "expected_impact": {
                    "revenue_loss_7d": 42000,
                    "gap_amount": 120,
                    "risk_reduction": "high",
                },
                "guardrails": {
                    "can_auto_execute": False,
                    "blocked_reason": "price adjustment requires HITL",
                    "data_quality": "complete",
                },
                "trace": {
                    "ai_call_id": 123,
                    "action_plan_id": 456,
                    "model": "qwen3:14b",
                    "provider": "ollama_gcp_a",
                },
            },
        },
        tier_label="Hermes · P1",
        ai_summary="建議進人工價格審核。",
    )

    assert "🧭 <b>決策信封</b>" in msg
    assert "類型：<code>price_alert</code>" in msg
    assert "嚴重度：<b>P1</b>" in msg
    assert "信心度：<b>86%</b>" in msg
    assert "資料品質：<code>complete</code>" in msg
    assert "自動執行：<b>不允許</b>" in msg
    assert "邊界：price adjustment requires HITL" in msg
    assert "<b>標的</b>" in msg
    assert "PChome" in msg
    assert "<code>match_score</code> / 91%" in msg
    assert "identity_v2 + price_alert_exact" in msg
    assert "動作：<code>human_review</code>" in msg
    assert "revenue_loss_7d=42000" in msg
    assert "ai_call_id=123" in msg
    assert keyboard["inline_keyboard"][0][0]["callback_data"] == "momo:eig:decision_env_001"


def test_triaged_alert_uses_decision_id_when_event_id_missing():
    _msg, keyboard = triaged_alert(
        base_event={
            "event_type": "price_alert",
            "title": "MOMO / PChome 價格威脅",
            "summary": "高信心同款且 PChome 低價。",
            "decision_envelope": {
                "decision_id": "nemotron:price_alert:SKU-1:abcdef12",
                "decision_type": "price_alert",
                "severity": "P2",
                "guardrails": {"can_auto_execute": False, "data_quality": "complete"},
            },
        },
        tier_label="NemoTron · P2",
        ai_summary="建議進人工價格審核。",
    )

    assert (
        keyboard["inline_keyboard"][0][0]["callback_data"]
        == "momo:eig:nemotron:price_alert:SKU-1:abcdef12"
    )


def test_triaged_alert_clamps_long_ascii_callback_to_telegram_limit():
    _msg, keyboard = triaged_alert(
        base_event={
            "event_type": "price_alert",
            "title": "MOMO / PChome 價格威脅",
            "summary": "高信心同款且 PChome 低價。",
            "id": "ascii-event-id-" + ("x" * 120),
        },
        tier_label="NemoTron · P2",
        ai_summary="建議進人工價格審核。",
    )

    callback_data = keyboard["inline_keyboard"][0][0]["callback_data"]
    assert callback_data.startswith("momo:eig:")
    assert len(callback_data.encode("utf-8")) <= 64


def test_triaged_alert_clamps_multibyte_callback_to_telegram_limit():
    _msg, keyboard = triaged_alert(
        base_event={
            "event_type": "price_alert",
            "title": "MOMO / PChome 價格威脅",
            "summary": "高信心同款且 PChome 低價。",
            "decision_envelope": {
                "decision_id": "價格決策" * 20,
                "decision_type": "price_alert",
                "severity": "P2",
                "guardrails": {"can_auto_execute": False, "data_quality": "complete"},
            },
        },
        tier_label="NemoTron · P2",
        ai_summary="建議進人工價格審核。",
    )

    callback_data = keyboard["inline_keyboard"][0][0]["callback_data"]
    assert callback_data.startswith("momo:eig:")
    assert callback_data != "momo:eig:unknown"
    assert len(callback_data.encode("utf-8")) <= 64
    assert callback_data.encode("utf-8").decode("utf-8") == callback_data